Arsi Demike Amni Sorenggani, . (2025) PENERAPAN ROADMAP BUSINESS INTELLIGENCE UNTUK ANALISIS KUNJUNGAN WISATAWAN (STUDI KASUS: DESA WISATA SADE KABUPATEN LOMBOK TENGAH). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
This research to apply Business Intelligence (BI) in analyzing tourist visits in Sade Tourism Village, Central Lombok Regency, to improve data management and data-based decision making. The method used is the Business Intelligence Roadmap (BIR) with the stages of justification, Planning, business analysis, Design, Construction, and evaluation. The data analyzed includes primary data (tourist visits October 2022-June 2024) and secondary data (holidays and local events). The results show that 85.35% of visitors are domestic tourists, with peak visitation occurring in July-August and weekends. Events such as MotoGP and cultural festivals significantly increase the number of visitors. Donation analysis revealed 95% of visitors contributed with an average of IDR 14,380 per person. Prediction using Exponential Smoothing (ETS) resulted in a MAPE accuracy of 17.66%. Usability evaluation of the BI Dashboard using the System Usability Scale (SUS) obtained a score of 76.25 (category “Good”). The implementation of BI provides strategic recommendations such as increasing facility capacity during high season and promoting international tourist targets. This research proves that BI is effective in supporting data-based tourism management.
Item Type: | Thesis (Skripsi) |
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Additional Information: | [No.Panggil: 2110512093] [Pembimbing 1: Andhika Octa Indarso [Pembimbing 2: Bambang Tri Wahyono [Penguji 1: Tjahjanto [Penguji 2: Theresia Wati |
Uncontrolled Keywords: | business intelligence, tourist visit analysis, prediction, dashboard, sade tourism village |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography H Social Sciences > HA Statistics H Social Sciences > HM Sociology Z Bibliography. Library Science. Information Resources > ZA Information resources |
Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
Depositing User: | ARSI DEMIKE AMNI SORENGGANI |
Date Deposited: | 19 Aug 2025 03:42 |
Last Modified: | 19 Aug 2025 03:42 |
URI: | http://repository.upnvj.ac.id/id/eprint/37339 |
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